docstr: :param x: input layer
  :param ref: reference usually data in
  :return:
docstr_tok: [":","param","x",":","input","layer",":","param","ref",":","reference","usually","data","in",":","return",":"]
code: def forward(x, ref):
      """
  
      :param x: input layer
      :param ref: reference usually data in
      :return:
      """
      return x
  
imports: import torch
  import torch.nn.functional
  from torch import nn
  from .None import Resnet
  from .wider_resnet import wider_resnet38_a2
  from .mynn import initialize_weights, Norm2d
  from torch.autograd import Variable
  from .my_functionals import GatedSpatialConv
  import cv2
  import numpy
label_desc: Use image node_id 2 for calling the MyIdentity obj's underlying member method code with example usage: obj.forward(x, ref) and returns: x